4 ms·

Another supportive (for your point) evidence is the Tensorflow Android example: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android

by krasin 11y ago

Another supportive (for your point) evidence is the Tensorflow Android example: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android https://github.com/tensorflow/tensorflow/tree/master/tensorf... It runs the network locally on the device. It's fast enough.

dgacmu 11y ago
"Sometimes, a cigar is just a cigar." Phones are increasingly powerful, prevalent, and for a lot of people, their primary computer. Being able to use the same code, data, and test cases for every platform you want to train or run your model on is good from a software engineering perspective. Don't underestimate the challenges of software eng. when ML is involved -- see, for example, http://icml.cc/2015/invited/LeonBottouICML2015.pdf http://icml.cc/2015/invited/LeonBottouICML2015.pdf